DATA_O 311 - L01
Machine Learning
Regression, classification, resampling, model selection and validation, fundamental properties of matrices, dimension reduction, tree-based methods, unsupervised learning. [3-2-0] Prerequisite: Either (a) one of STAT 205, STAT 230 or (b) a score more than 75% in one of APSC 254, BIOL 202, PSYO 373; and one of COSC 111, APSC 177.
- Section
- DATA_O 311 -L01
- Campus
- Okanagan
- Delivery Mode
- Online
- Term
- 2025-26 Winter Term 1 (UBC-O)
- Instructional Format
- Laboratory
- Credits
- 3.00
- Start Date
- End Date
- Days
- Friday
- Start Time
- 10:00 am
- End Time
- 12:00 pm